DLA - Senior Engineer

General Motors; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

General Motors is seeking a Manufacturing Data Analytics Engineer to apply data analytics across GM manufacturing processes worldwide. You will build full-stack manufacturing intelligence apps, dashboards, and data pipelines, integrating MES/SCADA data and production systems.

The role emphasizes secure design, cloud/edge deployment, and collaboration across engineering, quality, cybersecurity, and IT teams.

Qualifications

• Bachelor's or higher degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or equivalent
• 5+ years building production full-stack applications
• 3+ years delivering manufacturing intelligence or data-intensive enterprise apps
• Advanced TypeScript/JavaScript with React and frontend testing
• Strong Python with FastAPI, REST/OpenAPI design, testing
• Advanced SQL and PostgreSQL data modeling and performance tuning
• Experience with Docker, Kubernetes, and CI/CD for production
• Knowledge of Azure services and cloud-based app development
• Experience with automated testing and observability (logs, metrics, tracing)

Responsibilities

• Design, develop, and maintain full-stack manufacturing intelligence apps
• Create React/TypeScript dashboards and engineering tools
• Build scalable backend services using Python and FastAPI
• Integrate MES/SCADA/PLC data and historians with apps
• Model PostgreSQL data, optimize pipelines for production data
• Implement secure authentication, RBAC, auditing and data access controls
• Deploy and operate across cloud/edge environments using Docker/Kubernetes
• Create unit/integration/end-to-end tests and improve reliability
• Translate manufacturing problems into technical designs and user stories
• Collaborate across controls, manufacturing, data science, cybersecurity, IT
• Troubleshoot production issues and perform root-cause analysis
• Document architectures, APIs, and deployment procedures

Skills

React

TypeScript

Python

FastAPI

PostgreSQL

SQL

Docker

Kubernetes

CI/CD

Azure

OAuth/OIDC

Observability

Distributed systems

AI/ML in manufacturing

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Docker

Kubernetes

CI/CD pipelines

Databricks

Job description

Job Description

Sponsorship

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DONOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN,STEM OPT, etc.) NOW OR IN THE FUTURE.

Work Arrangement

This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.

The Role

Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI’s strategy is to “Execute Design / Simulation / Virtual / Engineering Workshare for the Globe + Enable Factory for the Future”.

This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for applying Data Analytics techniques on GM manufacturing processes in GM manufacturing plants across the globe to solve complex manufacturing business problems with big data. In this position, the engineer supports critical business operations and decision making through creation domain data exploration, data processing pipeline, and business intelligence reports.

This is primarily a non-travel job. Business travel will be necessary on special requirements and will be for a short duration. Depending on the need, there will be an International Short-Term assignment for 6 months in the first year for training & development.

What You’ll Do

• Design, develop, and maintain full-stack manufacturing intelligence applications using modern frontend, backend, and database technologies
• Build intuitive React/TypeScript user experiences for manufacturing dashboards, workflow tools, operational insights, and engineering applications
• Develop scalable backend services and APIs using Python and FastAPI or comparable frameworks, with clear service boundaries, resilient error handling, and efficient request processing
• Integrate applications with manufacturing and enterprise systems, including MES, SCADA, PLC/controls data, historians, equipment interfaces, and event-driven data services
• Design and optimize PostgreSQL data models, queries, and data pipelines for production, quality, equipment, and process information
• Implement secure authentication, authorization, auditability, and data-access controls for applications used across GM manufacturing and engineering environments
• Deploy and operate applications across enterprise, cloud, and edge environments using Docker, Kubernetes, CI/CD automation, and production monitoring
• Create automated unit, integration, and end-to-end tests and establish engineering practices that improve application reliability, maintainability, and release quality
• Translate manufacturing and engineering problems into clear technical designs, user stories, acceptance criteria, and measurable product outcomes
• Collaborate with controls, manufacturing, quality, data science, cybersecurity, and IT teams to deliver solutions that improve visibility, productivity, quality, and decision‑making
• Troubleshoot production issues, perform root‑cause analysis, and implement performance and reliability improvements across the application stack
• Document architecture, APIs, deployment procedures, operating standards, and support processes while contributing to a culture of continuous improvement.

Your Skills & Abilities (Required Qualifications)

• Bachelor's or higher degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent experience
• Ability to work effectively in both central engineering and plant environments, including time on the plant floor around operating equipment
• 5+ years of professional software engineering experience building and supporting production full-stack applications
• 3+ years of experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications across frontend, backend, and data layers
• Advanced TypeScript/JavaScript skills with React, including component architecture, state management, data visualization, responsive and accessible user interfaces, and frontend testing
• Strong Python development skills with FastAPI or comparable frameworks, including asynchronous programming, REST/OpenAPI service design, request validation, dependency management, and automated testing
• Advanced SQL and PostgreSQL skills, including relational data modeling, schema design, migrations, indexing, query and transaction performance, and data-quality controls
• Experience delivering manufacturing intelligence, industrial software, or data-intensive enterprise applications that connect operational data to business and engineering workflows
• Experience designing data pipelines and event‑driven architectures for equipment telemetry, time‑series data, production data, quality data, and manufacturing workflows
• Hands‑on experience with Git, Docker, Kubernetes, CI/CD automation, environment configuration, and deployment practices for production applications
• Demonstrated intermediate‑level proficiency with Microsoft Azure services and cloud‑based application development.
• Experience implementing automated unit, integration, contract, and end‑to‑end testing, as well as observability using structured logging, metrics, tracing, health checks, and alerting
• Working knowledge of application and platform security, including OAuth/OIDC, role‑based access control, secrets management, secure coding, vulnerability remediation, and least‑privilege design
• Demonstrated ability to troubleshoot distributed systems, diagnose performance and reliability issues, and translate manufacturing requirements into maintainable technical designs and production releases
• Basic understanding of Databricks and its integration with other systems
• Working understanding of automotive manufacturing processes
• Working knowledge of applying AI/ML techniques to manufacturing data, including integrating AI services and models into production applications, evaluating model outputs, using prompt engineering or retrieval‑augmented generation (RAG), and monitoring AI system performance

What Will Give You a Competitive Edge (Preferred Qualifications)

• Intermediate‑to‑expert proficiency with Databricks, including Spark and SQL data pipelines, Delta Lake, workflow orchestration, data‑quality controls, and integration with manufacturing and enterprise systems
• Experience integrating OT and IT systems such as MES, SCADA, PLC/controls systems, OPC UA, MQTT, REST APIs, historians, and event or message‑based platforms
• Experience working with manufacturing data models, time‑series data, equipment telemetry, production genealogy, quality data, or process data
• Experience building data visualization and analytical user experiences for operational, engineering, quality, or maintenance users
• Experience with cloud‑native and edge architectures, including Kubernetes, infrastructure as code, distributed systems, and disconnected or intermittently connected environments
• Knowledge of GM's controls standards, manufacturing technology standards, or comparable industrial automation and software integration standards
• Experience with event‑driven architectures, streaming platforms, message queues, data historians, or real‑time data processing
• Experience implementing observability practices, including structured logging, metrics, distributed tracing, alerting, and service‑level objectives
• Experience with automated security scanning, software supply‑chain controls, vulnerability remediation, and cybersecurity practices for operational technology environments
• Experience leading technical design discussions, mentoring engineers, reviewing code, and establishing reusable software patterns across teams
• Strong collaborative skills and the ability to communicate effectively with technical and non‑technical stakeholders in a fast‑paced manufacturing environment

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.